computer vision造句
31. In complex environment, intelligent computer vision system can meet the needs of accurate recognition object.
32. The paper presents the working process of mushroom pickup robot, the emphasis is put on the discussion of the basic algorithm of image analysis used in its computer vision system.
33. Human pose estimation is an essential issue in computer vision area since it has many applications such as human activity analysis, human computer interaction and visual surveillance.
34. Texture Synthesis is one of the hotspots in computer graphics, computer vision and image processing.
35. In the field of computer vision, the ability to distinguish specular reflection from diffuse reflection is very important .
36. Color character analysis plays an important role in the computer vision system.
37. When applying image analysis and computer vision system to aggregate particles, the first working step is image acquisition. The quality of images mainly depends on how to acquire images.
38. The distortion center must be solved in order to correct the image distortion resulting from the lens in computer vision system.
39. Computer vision model is the knowledge for a computer to accomplish a vision task.
40. The gait as one of biometrics has recently drawn attention to the computer vision researchers.
41. Topics are tackled from multiple standpoints, including optics, psychophysics, computer graphics and computer vision.
42. In computer grading system for beef, the segmentation of rib-eye image of beef carcass and the abstraction of marbling are the objects of inspection for beef carcass grading based on computer vision.
43. Longissimus dorsi is the object of inspection for beef carcass grading based on computer vision, and marbling is a major index.
44. Being a special computer vision system in the real-time case, the LPR system mainly includes the subsystem of license plate detection and character recognition.
45. As a special computer vision system, the Vehicle License Plate Recognition System can capture a vehicle automatically and identify the numbers in the image.
46. Fundamental matrix method is one of the hotspots in computer vision recently.
47. The computer vision system based on dynamic scene analysis has been a key research problem recently, especial for the movement parameters of the moving objects.
48. In this paper, we develop an automated inspection device by computer vision and mechanical automatization technology, to realize the automated inspection on integrated circuit chip pin size.
49. Geometric shape description is one of the main research topics in computer graphics, computer vision and pattern recognition.
50. The realistic significance of applying computer vision to fabric defect detection is analyzed firstly.
51. The verticality of cylinder is often inspected in the application of computer vision inspection.
52. Aiming at the shortcomings of traditional edge detection methods, considering the features of computer vision measurement, a practical contour extraction method is introduced.
53. The accuracy of camera's calibration is crucial to the reliability of measurement in the computer vision system.
54. To get a color descriptor that is robust to illumination and has the color constancy function is very important for the entire computer vision system.
55. The moving target detection is the main research content of the computer vision and image encoding which has an extensive application prospect.
56. An advanced computer vision system for the recognition of the location and orientation of industrial objects is described.
57. As a comprehensive real-time computer vision system, the vehicles license plate recognition (LPR) mainly includes the division of license plate localization and recognition of character.
58. Being a special computer vision system in the real-time case, the LPR (License Plate Recognition) system mainly includes the subsystem of license plate detection and character recognition.
59. In this paper changing threshold segmentation and grid technology is applied so that computer vision system is to save time, to improve accuracy and processing speed.
60. Object shape recognition is a challenging problem in the field of pattern recognition and computer vision.
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